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Apolla AI
Human resources

Interviewer practice simulation

Plays both candidate and interviewer roles so interviewers can practice structured questioning and assessment, with feedback for improvement.

Sample input and output

Sample input

I am about to interview a product manager candidate. Play a candidate with rich project experience whose answers tend to stay general.

Sample output

(After a 25-minute mock interview) You covered 4 of the 5 competency dimensions; “data-driven decision making” was not addressed. 3 follow-up questions stayed at the surface; try STAR-based probing. A round-by-round record is attached.

Details

Structured interviews only work as well as the interviewer’s questioning and assessment skills, and new interviewers rarely get to practice. This template plays different types of candidates in a mock interview with the interviewer, then gives feedback on question coverage, depth of follow-up and assessment consistency.

The question bank and assessment dimensions are configured to your competency model. Practice records are visible only to the trainee and the training lead.

  • Multiple candidate personas (including evasive and exaggerating types)
  • Question coverage assessed against the competency model
  • Round-by-round feedback and improvement suggestions
  • Access-controlled practice records

How close is this template to your use case?

Most customers go live after changing 20–40% of a template. Book a workshop and we will assess it together.